Refining a heuristic for constructing Bayesian networks from structured arguments
Publication date
2018-02-25
Editors
Verheij, Bart
Wiering, Marco
Advisors
Supervisors
Document Type
Part of book
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taverne
Abstract
Recently, a heuristic was proposed for constructing Bayesian networks (BNs) from structured arguments. This heuristic helps domain experts who are accustomed to argumentation to transform their reasoning into a BN and subsequently weigh their case evidence in a probabilistic manner. While the underlying undirected graph of the BN is automatically constructed by following the heuristic, the arc directions are to be set manually by a BN engineer in consultation with the domain expert. As the knowledge elicitation involved is known to be time-consuming, it is of value to (partly) automate this step. We propose a refinement of the heuristic to this end, which specifies the directions in which arcs are to be set given specific conditions on structured arguments.
Keywords
Structured argumentation, Bayesian networks, Taverne
Citation
Wieten, G M, Bex, F J, van der Gaag, L C, Prakken, H & Renooij, S 2018, Refining a heuristic for constructing Bayesian networks from structured arguments. in B Verheij & M Wiering (eds), Artificial Intelligence : 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8–9, 2017, Revised Selected Papers. 1 edn, Communications in Computer and Information Science, vol. 823, Springer, Cham, pp. 32-45. https://doi.org/10.1007/978-3-319-76892-2_3